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Cognitive Computation
Publishing model:
Hybrid

Cognitive Computation - Call for Papers: Cognitive Analysis for Humans and AI

Aim and Motivation:


The evolution of AI has profoundly shaped cognitive analysis, with a myriad of computational techniques emerging to discover cognitive patterns. Tools for sentiment, personality, psychology and concept analysis (e.g., SenticNet and MetaPro), and more have become pivotal in examining cognitive dynamics across diverse domains. The advent of cutting-edge generative AI techniques (e.g., ChatGPT and Stable Diffusion) has further showcased human-like capabilities in language and vision processing tasks. The understanding of these AI techniques not only empowers humans to optimize AI usage but also guards against potential risks associated with the integration of advanced technologies into various facets of our lives. While the landscape is adorned with numerous cognitive computation tools, the exploration of how to leverage these tools optimally and ethically for yielding profound insights in diverse domains and across varied research subjects remains an underexplored frontier.

This Special Issue is motivated by illuminating this critical gap and fostering collaboration between the AI and cognitive science communities. By soliciting high-quality research contributions, we seek to delve into the untapped potential of state-of-the-art cognitive computational methods. Our aspiration is to inspire the innovative applications of computational methods that generate significant cognitive findings, enriching both human understanding and the capabilities of future trustworthy AI systems.

Topics:

  • Cognitive analysis for healthcare, humanity and social science
  • Cognitive analysis for business, management, economics, finance and real-world applications
  • Human behavioral analysis
  • Multi-modal, multi-lingual and real-time Cognitive Analysis
  • Concept analysis
  • Psycholinguistic analysis
  • Analyzing human perception towards AI
  • Cognitive analysis of Generative AI and Large Language Models
  • AI behavioral analysis
  • Affective computation
  • Ethical (including interpretable, trustworthy, equitable and energy-efficient) analysis with cognitive computational methods

Guest Editors:

  • Rui Mao, Nanyang Technological University, Singapore, Email: rui.mao@ntu.edu.sg 
  • Qian Liu, Nanyang Technological University, Singapore, Email: liu.qian@ntu.edu.sg
  • Xiao Li, University of Aberdeen, United Kingdom, Email: xiao.li@abdn.ac.uk 
  • Erik Cambria, Nanyang Technological University, Singapore, Email: cambria@ntu.edu.sg
  • Amir Hussain, Edinburgh Napier University, United Kingdom, Email: A.Hussain@napier.ac.uk

Important Dates:

Submissions Deadline: 30 April, 2024

First notification of acceptance: 14 June, 2024

Submission of revised papers: 28 July, 2024

Final notification to the authors: 5 Sep, 2024 

Submission of final/camera-ready papers: 30 Sep, 2024


Paper Submission:

Authors are permitted up to one self-citation to any related papers from Cognitive Computation and up to two citations to any single external journal, in adherence to journal policy. All papers should follow the manuscript preparation requirements for the Springer Cognitive Computation submissions, and submit their manuscripts via the online submission manuscript system (http://www.springer.com/12559 (this opens in a new tab)). During submission, authors should select “Cognitive Analysis for Humans and AI” under the Collection tab in the Section of Details.

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